Estimating shadow prices in economies with multiple market failures

Area of Science:

• Economics
• Development Economics
• Agricultural Economics

Background:

• Traditional shadow price estimation assumes single market failures, which is unrealistic for developing countries.
• Multiple market failures, especially in labor markets, commonly occur in developing economies.
• Existing methods for estimating shadow prices are biased when multiple market failures exist.

Purpose of the Study:

• To develop a theoretical model and empirical strategy for estimating the shadow price of a subsistence good in economies with labor market failures.
• To address biases in current shadow price estimation methods when the perfect market assumption is violated.
• To improve the accuracy of poverty measures by providing unbiased shadow price estimates for subsistence goods.

Main Methods:

• Development of a theoretical economic model to estimate shadow prices under labor market failure.
• Empirical strategy utilizing a representative survey of rural Mexico.
• Comparative analysis of estimated shadow prices versus market prices for labor and subsistence corn.

Main Results:

• The shadow price of a subsistence good is greater than or equal to its market price for subsistence producers.
• The shadow wage in rural Mexico was found to be significantly below the market wage (MXN $93.2/day vs. $132.3/day).
• The shadow price of subsistence corn in rural Mexico was over ten times its market price (MXN $32.37/kg vs. $3.19/kg).

Conclusions:

• Current shadow price estimation methods create significant biases when multiple market failures are present.
• Unbiased shadow price estimates are crucial for accurate income and poverty assessments, especially for subsistence households.
• In rural Mexico, current poverty measures underestimate food-insecure populations by failing to account for the true value of subsistence goods and household purchasing power.